Skip to main content

Python package caerus

Project description

caerus

Python PyPI Version License Downloads Downloads Sphinx

caerus is Python package to compute the local-minima with the corresponding local-maxima within the given time-frame. This approach is designed to for stock-market valley and peak detection.

Here are just a few of the things that caerus does well: - Ouput contains detected start-stop regions of local minima and maxima. - Figures are created. - Parameter gridsearch. - Designed for the detection of complex trend movements.

⭐️ Star this repo if you like it ⭐️

Install caerus from PyPI

pip install caerus

Import caerus package

from caerus import caerus

Documentation pages

On the documentation pages you can find detailed information about the working of the caerus with examples.


Examples


Support

This project needs some love! ❤️

Contribute to this project by feature requests, idea discussions, reporting bugs, opening pull requests, or through Github Sponsors. Your help is highly appreciated.

  • If you wish to buy me a Coffee for this work, it is very appreciated :)

Github Sponsors

Maintainers

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

caerus-0.1.9.tar.gz (16.5 kB view details)

Uploaded Source

Built Distribution

caerus-0.1.9-py3-none-any.whl (17.5 kB view details)

Uploaded Python 3

File details

Details for the file caerus-0.1.9.tar.gz.

File metadata

  • Download URL: caerus-0.1.9.tar.gz
  • Upload date:
  • Size: 16.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for caerus-0.1.9.tar.gz
Algorithm Hash digest
SHA256 06b793c4537b663438270ea740c65eafe72d987ad18e942c85bab1bfc6a3a216
MD5 2ac1263be80e77895c1d832b9df7e9df
BLAKE2b-256 e903f6d2dae24fec813fea5896913219c1910bc30431b3c52db193f55d28a642

See more details on using hashes here.

File details

Details for the file caerus-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: caerus-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 17.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for caerus-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 8c7442390839787cc084508fd8004cee169dc2a62e43b06b2c287b550a43f400
MD5 48b68dedf41804e1f600dddb21333569
BLAKE2b-256 431e0602d1b17d35754c7c9092be1991f537cfd1bdc43e2c815c4dc93992ee49

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page